We turn AI research into tangible value.

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Build where research meets industry.

Work in a small team on ambitious AI problems and turn research into things that work in practice.

Research and industry as two separate worlds On the left a research environment: papers, models, methods, experiments. On the right an operational environment: processes, users, data, and a product that has to work in practice. Between them a gap. In the gap sits the Solutioneer, with three paths converging into it from each side. RESEARCH PAPERS MODELS METHODS EXPERIMENTS MODELS METHODS EXPERIMENTS INDUSTRY PROCESSES USERS DATA PRODUCTS DATA PRODUCTS SOLUTIONEER you build here Research and industry as two separate worlds Above a research environment: papers, models, methods, experiments. Below an operational environment: processes, users, data, and a product that has to work in practice. Between them a gap. In the gap sits the Solutioneer, with three paths converging into it from each side. RESEARCH PAPERS MODELS METHODS EXPERIMENTS METHODS EXPERIMENTS INDUSTRY PROCESSES USERS DATA PRODUCT DATA PRODUCT SOLUTIONEER you build here

What makes a Solutioneer?

  1. You build.

    You don’t wait for someone to turn the problem into a ticket.

    You’ve built things before because you wanted them to exist.

  2. You go deep.

    AI isn’t just an API call.

    Late Bachelor’s or Master’s in computer science, information systems, business informatics or something close to it. And a habit of looking beneath the abstraction.

  3. You scope.

    Ambiguity doesn’t scare you.

    You turn a messy problem into something concrete enough to build, then defend the decisions that got it there.

  4. You own.

    You’re responsible for what happens next.

    Not just implementation. Decisions, trade-offs and outcomes.

    Real work, real responsibility,

  5. You don’t build alone.

    Which is where the rest of the team comes in.

Building is a team sport.

You own a piece of the work. You don’t do it on your own.

Noah, Oscar and Max at the HPI symposium
HPI AI Business Trends and Concepts Symposium, May 2025 · Photo: Kay Herschelmann

Small teams.

Close enough to challenge each other.

You sit with the people making the decisions, including the ones who disagree with you.

Serious collaboration.

Think together. Build together. Get better together.

The academics on the team (HPI, MIT, University of Münster) sit in the same conversations as everyone else. You learn while solving the problem, not in a seminar about it.

Richard, Oscar and Noah with Prof. Jan vom Brocke
HPI AI Business Trends and Concepts Symposium, May 2025 · Photo: Kay Herschelmann

Not just an offsite.

Time to think deeply, build together, challenge ideas, eat together and figure out where Launch Labs goes next.

Four of the team on a boat on the lake at sunset The team in front of a screen showing a tool they built together A Solutioneer presenting a data dashboard to an audience at HPI

Two days of arguing about approaches, showing each other what we built, and deciding what Launch Labs takes on next.

Maximilian
What stands out most to me is the atmosphere. There’s a lot of trust, people are open with each other, and you have real freedom in how you work.
Maximilian · Solutioneer
Jan
You’re trusted with real responsibility, but you’re never left alone with it.
Jan · Academic mentor

Meet the team.

The Solutioneers and the academics who mentor them, side by side, because that is how the work runs.

Maximilian Kalff
Maximilian Kalff Solutioneer · HPI Potsdam LinkedIn
Emil Kobel
Emil Kobel Solutioneer · HPI Potsdam LinkedIn
Philip Maus
Philip Maus Solutioneer · HPI Potsdam LinkedIn
Max Blaschke
Max Blaschke Solutioneer · UniLi, HPI LinkedIn
Noah Khalil
Noah Khalil Solutioneer · TUM, HPI LinkedIn
Oscar Ulbricht
Oscar Ulbricht Solutioneer · HPI Potsdam LinkedIn
Richard J. Weber
Richard J. Weber Solutioneer · HPI Potsdam I’m a Master’s student in Computer Science at the Hasso Plattner Institute and part of the HPI Engine Incubator Program. LinkedIn
Prof. Jan vom Brocke
Prof. Jan vom Brocke Academic mentor · ERCIS Münster LinkedIn
Dr. Thomas Haskamp
Dr. Thomas Haskamp Academic mentor · Münster, MIT LinkedIn
Tobias Zimmermann
Tobias Zimmermann Academic mentor · University of Münster LinkedIn

Could this be you?

  • Can you turn an ambiguous problem into something concrete?
  • Do you understand what’s happening beneath the abstraction?
  • Have you built something because you wanted it to exist?
  • Do you want responsibility for the outcome?
  • Do you want to build with people who will challenge you?

Then we should talk.

No application window and no form. Either way you end up in a conversation with a person.

Send what you’ve built

A repo, a system, something you made because you wanted it to exist. Add a line on what you want to own next. That tells us more than a CV does.

info@launch-labs.ai

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